code: def linear(solver, jacobian_diag_part, initial_state):
      ode_fn = lambda time, state: jacobian_diag_part * state
      initial_time = 0.0
      jacobian = np.diag(jacobian_diag_part)
      solver_instance = solver(rtol=_RTOL, atol=_ATOL)
      results = solver_instance.solve(
          ode_fn,
          initial_time,
          initial_state,
          solution_times=[1.0],
          jacobian_fn=jacobian,
      )
      return results.times, results.states
  
file_path: probability/tensorflow_probability/python/math/ode/xla_test.py
imports: from absl import flags
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.ode import bdf
label_desc: Use image node_id 1 for calling a global function with example usage: linear(solver, jacobian_diag_part, initial_state) and returns: results,  results